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In order to verify the effectiveness of the algorithm, the artificial synthetic image with noise and natural image without noise are used for comparison experiments. The experimental result show the algorithm proposed in this paper can not only suppress the noise, but also improve the processing accuracy.<\/jats:p>","DOI":"10.3233\/jcm-226001","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T13:20:48Z","timestamp":1648560048000},"page":"1117-1130","source":"Crossref","is-referenced-by-count":0,"title":["Image segmentation based on super-pixel with neighborhood constrained and multi-level FCM clustering"],"prefix":"10.66113","volume":"22","author":[{"given":"Yu","family":"Yang","sequence":"first","affiliation":[{"name":"Zhuhai City Polytechnic, Zhuhai, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhicheng","family":"Wen","sequence":"additional","affiliation":[{"name":"Jiangxi University of Engineering, Xinyu, Jiangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"8","key":"10.3233\/JCM-226001_ref1","doi-asserted-by":"publisher","first-page":"1776","DOI":"10.3969\/j.issn.0372-2112.2019.08.023","article-title":"Research progress on image segmentation based on fuzzy clustering","volume":"47","author":"Tao","year":"2019","journal-title":"Acta Electronica Sinica."},{"key":"10.3233\/JCM-226001_ref2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2015.0236"},{"issue":"9","key":"10.3233\/JCM-226001_ref3","doi-asserted-by":"publisher","first-page":"1753","DOI":"10.1109\/TFUZZ.2018.2889018","article-title":"Super-pixel based fast fuzzy c-means clustering for colour image segmentation","volume":"27","author":"Tao","year":"2019","journal-title":"IEEE Transaction on Fuzzy Systems."},{"issue":"1","key":"10.3233\/JCM-226001_ref4","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TFUZZ.2018.2883033","article-title":"Deviation sparse fuzzy c-means with neighbour information constraint","volume":"27","author":"Yuxuan","year":"2019","journal-title":"IEEE Transactions on Fuzzy systems"},{"issue":"11","key":"10.3233\/JCM-226001_ref5","first-page":"2722","article-title":"A novel fuzzy clustering algorithm based on similarity of attribute space","volume":"41","author":"Weifeng","year":"2019","journal-title":"Journal of Electronics and Information Technology."},{"issue":"2","key":"10.3233\/JCM-226001_ref6","first-page":"289","article-title":"A global optimization fuzzy clustering algorithm based on tabu search","volume":"47","author":"Yi","year":"2019","journal-title":"Acta Electronica Sinica."},{"issue":"6","key":"10.3233\/JCM-226001_ref7","doi-asserted-by":"publisher","first-page":"103","DOI":"10.14569\/IJACSA","article-title":"Fuzzy c-means based inference mechanism for association rule mining","volume":"6","author":"Chaturvedi","year":"2015","journal-title":"International Journal of Advanced Computer Science and Applications."},{"issue":"1","key":"10.3233\/JCM-226001_ref8","first-page":"71","article-title":"On semi-supervised fuzzy c-means clustering for data with cluster wise tolerance by opposite criteria","volume":"17","author":"Yukihiro","year":"2013","journal-title":"Soft Computing-A Fusion of Foundations, Methodologies & Applications."},{"issue":"4","key":"10.3233\/JCM-226001_ref9","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1109\/TSMCB.2004.831165","article-title":"Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure","volume":"34","author":"Songcan","year":"2004","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics. 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